Aiming to tell the dark secrets of computer arithmetic, this title is suitable for library developers, compiler writers, and lovers of elegant hacks.

    Learn You a Haskell for Great Good! introduces programmers familiar with imperative languages (such as C++, Java, or Python) to the unique aspects of functional programming. Packed with jokes, pop culture references, and the author's own hilarious artwork, Learn You a Haskell for Great Good! eases the learning curve of this complex language, and is a perfect starting point for any programmer looking to expand his or her horizons. The well-known web tutorial on which this book is based is widely regarded as the best way for beginners to learn Haskell, and receives over 30,000 unique visitors monthly.

    The books also provides a companion web site that provides the toold and materials necessary to build the hardware and software.

    Tracy Kidder got a preview of this world in the late 1970s when he observed the engineers of Data General design and build a new 32-bit minicomputer in just one year. His thoughtful, prescient book, The Soul of a New Machine, tells stories of 35-year-old "veteran" engineers hiring recent college graduates and encouraging them to work harder and faster on complex and difficult projects, exploiting the youngsters' ignorance of normal scheduling processes while engendering a new kind of work ethic.These days, we are used to the "total commitment" philosophy of managing technical creation, but Kidder was surprised and even a little alarmed at the obsessions and compulsions he found. From in-house political struggles to workers being permitted to tease management to marathon 24-hour work sessions, The Soul of a New Machine explores concepts that already seem familiar, even old-hat, less than 20 years later. Kidder plainly admires his subjects; while he admits to hopeless confusion about their work, he finds their dedication heroic. The reader wonders, though, what will become of it all, now and in the future. —Rob Lightner

    Hes also one of the most controversial CEOs in history, allegedly throwing epic tantrums, firing staff in elevators, and taking credit for other peoples achievements. So whats the real story? According to Leander Kahney, who has covered Jobs since the early 1990s as a reporter, editor, and book author, hes a fascinating bundle of contradictions. Hes an elitist who thinks most people are bozosbut he makes gadgets so easy to use, a bozo can master them. Hes a mercurial obsessive with a filthy temperbut he forges deep partnerships with creative geniuses like Steve Wozniak, Jonathan Ive, and John Lasseter. Hes a Buddhist and antimaterialistbut he produces mass-market products in Asian factories, and he promotes them with absolute mastery of the crassest medium, advertising. In short, Jobs has embraced the personality traits that some consider flawsnarcissism, perfectionism, total faith in his intuitionto lead Apple and Pixar to triumph against steep odds. And in the process, he has become a self-made billionaire. After interviewing more Apple insiders than any previous author, Kahney has distilled the principles that guide Jobs as he launches killer products, attracts fanatically loyal customers, and manages some of the worlds most powerful brands.

    A light-hearted and informative reminder of all the things that we learnt in school but have since become relegated to the backs of our minds, I Used to Know That features hundreds of important snippets of wisdom, facts, theories, equations, phrases, rules and sayings. A practical guide to turn to when an answer is eluding you, when helping a child with homework or preparing them for the new school year, or maybe just to brush up on trivia for the pub quiz. I Used to Know That covers English Language and Literature, Mathematics, Biology, Chemistry, Physics, History, Geography and General Studies, so never again will you find yourself stumped!

    They hunt, swarm, and fire lasers from their eyes. They even beat humans at chess. So who better to stand with us when the real villains arrive? Movies instruct us that, whether we like it or not, we will one day be under siege by pirates, ninjas, zombies, aliens, and Godzilla. Also great white sharks. And-let's face it-we're not prepared. But with the advice contained in this brilliantly illustrated, ingenious book, you can build your own robot army to fend off hordes of bloodthirsty foes. From common-sense injunctions ("never approach an unfamiliar robot in a militarized zone") to tactical pointers ("low-power radar beats cameras for detecting mummies in a fog-shrouded crypt") to engineering advice ("passive-dynamic exoskeleton suits will increase sprint speeds but not leg strength"), this book contains all the wisdom you'll need to fend off the coming apocalypse. Witty, informative, and utterly original, How to Build a Robot Army is the ideal book for readers of any age.

    Best of all, it fits in your shirt pocket! (3.2" x 5.4" x 0.7")The following chapters are contained in Pocket Ref: -- Air-- Automotive-- Carpentry & Construction-- Chemistry & Physics-- Computers-- Constants-Physical-- Electrical-- Electronics-- General Information-- General Science-- Geology-- Glues, Solvents & Paints-- Hardware-- Math-- Mining & Milling-- Money-- Plumbing & Pipe-- Rope, Cable & Chain-- Steel & Metals-- Surveying & Mapping-- Tools-- Water-- Weights of Materials-- Welding-- 3500 Conversion Factors - Perpetual Calendar - Note Pages with Metric/US Rulers-- Detailed IndexNew sections included in the second edition-- Dry air Specific Heat & Sound Velocity at Various Temperatures & Pressures-- Wood Beam Strength for 76 species of wood-- Max Floor Joist Spans for 21 wood species, 3 grades & 7 load ratings-- Galvanic Series of Metals in Sea Water-- World Wide Telephone Area Codes & International Access Codes-- North American Top 400 airports with elevation, name, code and area population-- Capacities of Hydraulic Rams from 1" to 60"-- Force Required to Punch 10 different metal types at thicknesses from 1/16" to 1-1/4"-- Friction/Head Loss for 38 types of pipe with flow rates from 0.5 to 5000 gpm-- Perpetual Calendar with holidays for all years from 1858 to 2025

    Asynchronous programming lets you turn your own web sites into smooth, slick, responsive applications that make your users feel like they're back on the information superhighway, not stuck on a dial-up backroad.But who wants to take on next-generation web programming with the last generation's instruction book? You need a learning experience that's as compelling and cutting-edge as the sites you want to design. That's where we come in. With Head Rush Ajax, in no time you'll be writing JavaScript code that fires off asynchronous requests to web servers...and having fun doing it. By the time you've taken your dynamic HTML, XML, JSON, and DOM skills up a few notches, you'll have solved tons of puzzles, figured out how well snowboards sell in Vail, and even watched a boxing match. Sound interesting? Then what are you waiting for? Pick up Head Rush Ajax and learn Ajax and asynchronous programming the right way--the way that sticks.If you've ever read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. Head Rush ramps up the intensity with an even faster look and feel. Have your first working app before you finish Chapter 1, meet up with the nefarious PROJECT: CHAOS stealth team, and even settle the question of the Top 5 Blues CDs of all time. Leave boring, clunky web sites behind with 8-tracks and hot pants--and get going with next-generation web programming."If you thought Ajax was rocket science, this book is for you. Head Rush Ajax puts dynamic, compelling experiences within reach for every web developer." -- Jesse James Garrett, Adaptive Path"A 'technology-meets-reality' book for web pioneers on the cutting edge." -- Valentin Crettaz, CTO, Condris Technologies

    In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

    Who are these people, what motivates them, and why should you care?Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls “an intellectual Wild West.”The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.

    Author and cooking geek Jeff Potter helps you apply curiosity, inspiration, and invention to the food you prepare. Why do we bake some things at 350°F / 175°C and others at 375°F / 190°C? Why is medium-rare steak so popular? And just how quickly does a pizza cook if you “overclock” an oven to 1,000°F / 540°C? This expanded new edition provides in-depth answers, and lets you experiment with several labs and more than 100 recipes— from the sweet (a patent-violating chocolate chip cookie) to the savory (pulled pork under pressure).When you step into the kitchen, you’re unwittingly turned into a physicist and a chemist. This excellent and intriguing resource is for inquisitive people who want to increase their knowledge and ability to cook.• Discover what type of cook you are and learn how to think about flavor• Understand how protein denaturation, Maillard reactions, caramelization, and otherreactions impact the foods we cook• Gain firsthand insights from interviews with researchers, food scientists, knife experts, chefs, and writers—including science enthusiast Adam Savage, chef Jaques Pépin, and chemist Hervé This

    It's available on almost every OS--if you master the techniques in this book, you'll never need another text editor. Practical Vim shows you 120 vim recipes so you can quickly learn the editor's core functionality and tackle your trickiest editing and writing tasks. Vim, like its classic ancestor vi, is a serious tool for programmers, web developers, and sysadmins. No other text editor comes close to Vim for speed and efficiency; it runs on almost every system imaginable and supports most coding and markup languages. Learn how to edit text the "Vim way:" complete a series of repetitive changes with The Dot Formula, using one keystroke to strike the target, followed by one keystroke to execute the change. Automate complex tasks by recording your keystrokes as a macro. Run the same command on a selection of lines, or a set of files. Discover the "very magic" switch, which makes Vim's regular expression syntax more like Perl's. Build complex patterns by iterating on your search history. Search inside multiple files, then run Vim's substitute command on the result set for a project-wide search and replace. All without installing a single plugin! You'll learn how to navigate text documents as fast as the eye moves--with only a few keystrokes. Jump from a method call to its definition with a single command. Use Vim's jumplist, so that you can always follow the breadcrumb trail back to the file you were working on before. Discover a multilingual spell-checker that does what it's told.Practical Vim will show you new ways to work with Vim more efficiently, whether you're a beginner or an intermediate Vim user. All this, without having to touch the mouse.What You Need: Vim version 7

    At that career level, you’ll no longer be required to work towards the next promotion, and being promoted beyond it is exceptional rather than expected. At that point your career path will branch, and you have to decide between remaining at your current level, continuing down the path of technical excellence to become a Staff Engineer, or switching into engineering management. Of course, the specific titles vary by company, and you can replace “Senior Engineer” and “Staff Engineer” with whatever titles your company prefers. Over the past few years we’ve seen a flurry of books unlocking the engineering management career path, like Camille Fournier’s The Manager’s Path, Julie Zhuo’s The Making of a Manager, Lara Hogan’s Resilient Management and my own, An Elegant Puzzle. The management career isn’t an easy one, but increasingly there are maps available for navigating it. On the other hand, the transition into Staff Engineer, and its further evolutions like Principal and Distinguished Engineer, remains challenging and undocumented. What are the skills you need to develop to reach Staff Engineer? Are technical abilities alone sufficient to reach and succeed in that role? How do most folks reach this role? What is your manager’s role in helping you along the way? Will you enjoy being a Staff Engineer or you will toil for years to achieve a role that doesn’t suit you? "Staff Engineer: Leadership beyond the management track" is a pragmatic look at attaining and operating in these Staff-plus roles.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.